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  • 學位論文

適用於無線感測網路之動態頻率調整加解密引擎設計

A Dynamic Frequency Scaling AES Engine for Wireless Sensor Network

指導教授 : 許雅三
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摘要


隨著科技進步,無線通訊的發展愈加發達。在人與人的溝通之外,輔助控制的應用亦漸漸興起,無線感測網路即為其中一例。無線感測網路之應用範圍相當廣泛,從室內到室外皆有其適用之處。無線感測網路利用自我控制的小型網路來感測環境變數,並以無線方式傳輸資料,有時亦會搭配其他中央控制系統以達到隨環境變化而能自我調整之目的。 由於無線感測網路主要目的為控制、監測而非提供一個大量資訊傳輸之媒介,其網路內部節點之數量多半較為龐大,且節點之運作模式多處於閒置狀態。由於數量龐大,因此有其必要節省單一節點之面積以降低成本。另外,節點常處在閒置狀態的好處在於可以節省能源消耗,並且維持較久的壽命,因為在無線感測網路中節點通常由一個簡單的電池(或充電電池)來驅動。而除了節點成本、壽命以外,另一項需要注意的即為資料傳輸之安全性考量。 在這篇論文中,我們將討論以32位元及128位元兩種方式設計的加解密之性能,此項討論將針對面積與能源消耗兩大主軸。由討論結果可知,32位元之設計較128位元之設計節省約一半的面積且以大部分傳輸量少的無線感測網路節點而言其能源消耗亦為前者較低。由此,整體評估為32位元之設計較128位元之設計適用於無線感測網路。除此之外,我們也提供了一個適用於無線感測網路之動態頻率調整加解密引擎之系統架構,同時亦提供了此動態頻率調整加解密引擎之系統模擬結果,經由系統模擬之結果可瞭解其整體運作。

並列摘要


Wireless sensor network is more and more popular nowadays. Its applications are wide-spreading from household to military use. The main purpose of this kind of network is to control and monitor some parameters in the environment but not to provide an access for large amount of data transfer. Consequently, nodes in such network stay in the idle mode most of the time so they can last long with single battery as power supply. In addition to the life time of a node, the security of data transferring over the air should be concerned. In this work, a discussion on the implementations based on 32-bit and 128-bit datapath design of the security engine will be provided. The discussion will focus on area cost down and average power consumption. From the comparison results, it is shown that the overall evaluation of the 32-bit design of the AES core prevails over the 128-bit design. Moreover, system architecture with a dynamic frequency scaling 32-bit AES core is also provided followed by a system simulation, which gives an overall function of the security engine.

參考文獻


[1] J. Hill, System architecture for wireless sensor networks. University of California, Berkeley, Spring 2003.
[2] E. Callaway, Low power consumption features of the IEEE 802.15.4/ZigBee LR-WPAN standard. Mini-tutorial, ACM Sensys., 2003.
[3] S. C. Ergen, ZigBee/IEEE 802.15.4 summary. University of California, Berkeley, September 2004.
[7] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, A survey on wireless sensor network. IEEE Communications Magazine, August 2002.
[8] Advanced Encryption Standard (AES), Federal Information Processing Standards publication 197, Nov. 26, 2001.

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